Paper
14 October 2021 Infrared image enhancement algorithm based on seagull optimized Otsu and BEEPS algorithm in NSST domain
Zhang Xin, Yang Yu, Yike Shi, Jiahao Zhang, Zefeng Zhang, Xin Wang
Author Affiliations +
Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119300P (2021) https://doi.org/10.1117/12.2611678
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China
Abstract
Aiming at the problems of fuzzy, noisy, and low contrast of infrared images in detection of power equipment. This paper designs an improved Otsu segmentation threshold based on seagull optimization and BEEPS filter algorithm in NSST domain. First, the original infrared image is decomposed by NSST to high and low frequency components. Low-frequency component is divided into two parts, the foreground and background, and the enhancement processing is performed separately to each part. BEEPS algorithm is used in this paper for high-frequency component processing. Finally, the processed low-frequency components and high-frequency components are subjected to NSST inverse transformation to obtain the final enhanced image. The algorithm in this paper is compared with the other three algorithms to verify its superiority: it has improved the accuracy of infrared image threshold segmentation and strengthened the depth of field, and increase the brightness of power equipment. The overall contrast of the image is enhanced and the noise part is also effectively filtered out, improving the overall visual effect of the image which is conducive to use thermal effects to determine the operating status of power equipment and the detection and fault location of thermal fault detection.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhang Xin, Yang Yu, Yike Shi, Jiahao Zhang, Zefeng Zhang, and Xin Wang "Infrared image enhancement algorithm based on seagull optimized Otsu and BEEPS algorithm in NSST domain", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119300P (14 October 2021); https://doi.org/10.1117/12.2611678
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KEYWORDS
Image processing

Image processing algorithms and systems

Infrared imaging

Infrared radiation

Image enhancement

Image segmentation

Detection and tracking algorithms

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